// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"

namespace acl_op {
using npu_preparation = at_npu::native::OpPreparation;


at::Tensor npu_scaled_masked_softmax_backward(
    const at::Tensor& y_grad,
    const at::Tensor& y,
    const at::Tensor& mask,
    const at::Scalar& scale,
    bool fixed_triu_mask) {
  at::Tensor result = npu_preparation::apply_tensor(y_grad);
  at_npu::native::OpCommand cmd;
  cmd.Name("ScaledMaskedSoftmaxGrad")
      .Input(y_grad)
      .Input(y)
      .Input(mask)
      .Output(result)
      .Attr("scale", scale)
      .Attr("fixed_triu_mask", fixed_triu_mask)
      .Run();
  return result;
}

at::Tensor npu_scaled_masked_softmax(
    const at::Tensor& self,
    const at::Tensor& mask,
    const at::Scalar& scale,
    bool fixed_triu_mask) {
  at::Tensor result = npu_preparation::apply_tensor(self);
  at_npu::native::OpCommand cmd;
  cmd.Name("ScaledMaskedSoftmax")
      .Input(self)
      .Input(mask)
      .Output(result)
      .Attr("scale", scale)
      .Attr("fixed_triu_mask", fixed_triu_mask)
      .Run();
  return result;
}

} // namespace acl_op
